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Flamuri i EGYPT
cairo, egypt
$10 USD / orë
Aktualisht është 1:02 p.d. këtu
U bashkua tetor 2, 2017
0 Rekomandime

Mohamed E.

@mhmdsedawy

 0,0 (0 përshtypje)
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$10 USD / orë
Flamuri i EGYPT
cairo, egypt
$10 USD / orë
Asnjë
Punët e Plotësuara
Asnjë
Brenda Buxhetit
Asnjë
Në Kohë
Asnjë
Shpeshtësia e Rimarrjes në Punë

Data Analysis | Data Visualization

Hi everyone! I'm here to help you analyze and organize your data in a clear way. Please feel free to contact me if you need: - analysis and visualization of your open-ended survey responses. - Building automated Excel sheets using (pivot tables, VBA, complex formulas, conditional formatting, Queries……etc.) - data analysis using Python, MySQL - PowerBI Dashboard I'm a reliable, detail-oriented, and hard-working person. I would be glad to help you!
Freelancer Python Developers Egypt
Shikoni të gjitha Python Developers në Egypt

Kontaktoni Mohamed E. për punën tuaj

Identifikohu për të diskutuar çdo detaj gjatë bisedës.

Portofol

10306725
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
10649921
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
10306725
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
10649921
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite

Vlerësimet

Ndryshimet u ruajtën
Asnjë vlerësim këtu!

Përvoja

Product Management Engineer

Johnson Controls
gush 2021 - E tashme
• data analysis • Provides Product Management support to the Product Development Process (PDP), all phases. • Develops business case financials to recommend new product developments and product enhancements. • Is responsible to provide product support tools e.g., Technical / Sales literature, selection software, and Product Launch materials, including competitor benchmark analysis.

Arsimi

Bachelor degree of mechanical Engineering

Alexandria University, Egypt 2011 - 2016
(5 years)

Kualifikimet

SQL

365datascience
2022
Studying SQL and using MySQL A certificate of completion had been awarded

Data Analysis Nano Degree

Udacity
2022
Studying data analysis and data visualization using python and SQL studying statistics and probability

Kontaktoni Mohamed E. për punën tuaj

Identifikohu për të diskutuar çdo detaj gjatë bisedës.

Verifikimet

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Python
Excel
Web Scraping
MySQL
SQLite

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Python Developers in Egypt
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Python
Excel
Web Scraping
MySQL
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